Why youtube-transcript-api gets blocked on your server (and 3 ways to fix it)

Bernardo Henriques Sousa — Sun, 11 Oct 2026 00:22:16 +0000

If you've used youtube-transcript-api, you know the feeling: it works perfectly on your laptop, you deploy it to a server, and every request fails with RequestBlocked or IpBlocked.

I hit this while building a transcript tool, so I measured it instead of guessing. Here's what happened, why, and what you can do about it.

The test

I took 10 popular YouTube videos that have captions (I checked each one from my home connection first) and fetched their transcripts from a cloud server three ways, using youtube-transcript-api 1.2.4:

How the request went out	Transcripts fetched
Directly from the cloud server	10 / 10
Through datacenter proxies	9 / 10
Through residential proxies	10 / 10

This is one run with 10 videos in October 2026, so treat it as a snapshot, not a benchmark. The pattern is still clear: YouTube blocks cloud IP ranges outright. Your code isn't broken; your server's IP is.

One more data point: my home IP also got blocked after roughly 20 requests in a single afternoon of testing. So "just run it locally" works for a handful of videos, not for a batch.

Why it happens

The library doesn't use an official API. It loads the video page like a browser would and then fetches the caption track. IP addresses of cloud and hosting providers are easy to recognize, and traffic from them looks like bots, because it usually is. YouTube refuses those requests, and the library surfaces that as RequestBlocked or IpBlocked.

Fix 1: run it from a home connection (small volumes only)

For a few videos, the plain library is all you need:

from youtube_transcript_api import YouTubeTranscriptApi

api = YouTubeTranscriptApi()
transcript = api.fetch("aircAruvnKk", languages=["en"])

text = " ".join(snippet.text for snippet in transcript)
print(text[:200])

Keep the volume low and space out your requests, or your home IP ends up blocked too.

Fix 2: bring your own proxies

The library has proxy support built in. With residential proxies from Webshare:

from youtube_transcript_api import YouTubeTranscriptApi
from youtube_transcript_api.proxies import WebshareProxyConfig

api = YouTubeTranscriptApi(
    proxy_config=WebshareProxyConfig(
        proxy_username="your-username",
        proxy_password="your-password",
    )
)
transcript = api.fetch("aircAruvnKk")

Or with any other provider:

from youtube_transcript_api.proxies import GenericProxyConfig

api = YouTubeTranscriptApi(
    proxy_config=GenericProxyConfig(
        http_url="http://user:pass@proxy.example.com:8000",
        https_url="http://user:pass@proxy.example.com:8000",
    )
)

Watch the bandwidth bill. Residential proxies are usually priced per GB. In my test, each video moved about 0.4 MB through the proxy (the library downloads the whole watch page, not just the captions). At around $8/GB, that's roughly $3 per 1,000 transcripts if every request goes residential.

The cheaper pattern is what I ended up doing: try a datacenter proxy first, and fall back to residential only when it's blocked. Datacenter got 9 out of 10 through, so only the leftovers pay the residential price. That brought my measured cost down to about $0.50 per 1,000 transcripts.

from youtube_transcript_api import YouTubeTranscriptApi, NoTranscriptFound, TranscriptsDisabled, VideoUnavailable
from youtube_transcript_api.proxies import GenericProxyConfig

ROUTES = [DATACENTER_URL, DATACENTER_URL, RESIDENTIAL_URL, RESIDENTIAL_URL]  # your proxy URLs
FINAL = (NoTranscriptFound, TranscriptsDisabled, VideoUnavailable)  # another IP won't fix these


def fetch(video_id):
    last_error = None
    for url in ROUTES:
        api = YouTubeTranscriptApi(proxy_config=GenericProxyConfig(http_url=url, https_url=url))
        try:
            return api.fetch(video_id)
        except FINAL:
            raise
        except Exception as exc:  # blocked or flaky: try the next route
            last_error = exc
    raise last_error

Two details that matter in practice:

Don't retry errors another IP can't fix. A video with captions disabled fails the same way from every IP; retrying it only burns proxy bandwidth.
Rotate the IP on every attempt. Most providers give you a new IP per connection or per session; make sure your retries actually change it.

Fix 3: use a hosted scraper

If you don't want to manage proxies at all, there are hosted tools that do this for you. Disclosure: I built one of them, YouTube Transcript Scraper on Apify. It runs the datacenter-then-residential routine above, takes URLs or IDs in bulk (Shorts included), lets you choose languages in order of preference, and returns plain text plus timestamped segments. It charges $3 per 1,000 transcripts delivered; failed videos are free.

Calling it from Python with the official client:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("sturdyscrape/youtube-transcript-scraper").call(
    run_input={
        "videos": [
            "https://www.youtube.com/watch?v=aircAruvnKk",
            "https://youtu.be/dQw4w9WgXcQ",
        ],
        "languages": ["en"],
        "includeSegments": False,
    }
)

for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item["videoId"], item["wordCount"], item["text"][:80])

There are other transcript tools on the Apify Store and elsewhere, at different prices; compare them for your volume.

Which one should you pick?

A handful of videos, once: Fix 1. Free.
Regular batches and you're comfortable running infrastructure: Fix 2, with the datacenter-first fallback to keep the proxy bill down.
You just need the text inside a pipeline, an AI agent or a no-code workflow: Fix 3.

Whatever you choose, the main lesson from the test holds: if your transcript code works locally and fails on the server, it's the IP, not the code.

Have you found another way around the blocking? Tell me in the comments; I'm curious what's working for other people.